| 王雨
，林枫
，杨海龙.抑郁症《国际功能、残疾和健康分类》功能变量关系图模型的建构研究[J].神经损伤功能重建,2022,17(知网首发): |
| 抑郁症《国际功能、残疾和健康分类》功能变量关系图模型的建构研究 |
| Graph Modeling of Relational Structures among Functioning Variables with Depression: AnExploratory Analysis Based on International Classification of Functioning, Disability, and Health |
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| DOI： |
| 中文关键词: 抑郁症 国际功能、残疾和健康分类 图建模 网络分析 |
| 英文关键词: depression International Classification of Functioning, Disability, and Health graphical modeling network analysis |
| 基金项目: |
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| 摘要点击次数: 844 |
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| 中文摘要: |
| 目的：根据《国际功能、残疾和健康分类》（ICF）为抑郁症建立功能变量关系图模型，探索关键靶点条
目和干预路径，为抑郁症的诊疗及心理社会功能恢复提供新的思路和依据。方法：175例抑郁症患者纳入
研究，使用自编一般情况调查问卷、病人健康问卷（PHQ-9）、广泛性焦虑量表（GAD-7）、24项汉密尔顿抑郁
量表（HAMD-24）和抑郁症ICF综合核心条目组合对患者进行评估，采用R软件构建功能变量关系图模型，
并进行网络分析。结果：①共有62个ICF条目位于抑郁症功能变量主岛屿结构中；其中27个条目位于4-核
结构，30个条目位于3-核结构，5个条目位于2-核结构；各条目的障碍率与网络参数未发现显著相关（P＞ 0.05）。②频数分布结果显示，4-核结构中的27个条目障碍率取值范围基本与各条目功能障碍频数分布一
致，4-核中所有条目可作为关键干预靶点。③风险相关结果显示，乐观、思维功能、动机、与消化系统相关感
觉、痛觉等与多个条目之间具有较高风险相关，可为设计不同的干预路径提供参考。结论：通过构建抑郁症
ICF功能变量关系图模型，可发掘抑郁症关键干预靶点和临床路径，进一步指导抑郁症的诊疗及促进患者
心理社会功能恢复。 |
| 英文摘要: |
| To establish a graphic model of functional variables for depression according to the Inter- national Classification of Functioning, Disability, and Health (ICF) to explore the key target items and intervention paths, so as to provide new ideas and a basis for diagnosis and treatment of depression and recovery of psychosocial function. Methods: A total of 175 patients with depression were selected as research subjects. Patients were assessed by self-designed general condition questionnaire, patient health questionnaire (PHQ-9), Generalized Anxiety Disorder Scale (GAD-7), 24-item Hamilton Depression Scale (HAMD-24), and ICF Core Sets
for depression. R software was used for modeling variable relationships and network analysis. Results: (1) A total of 62 ICF items were located in the main structure of depression, among which 27 items were located in the
4-coreness structure, 30 in the 3-coreness structure, and 5 in the 2-coreness structure. There was no significant
correlation between the disability rate of each item and network parameters (P>0.05). (2) The results of frequency distributions showed that the range of the disorder rate of 27 items in the 4-coreness structure was basically
consistent with the frequency distribution of the dysfunction rate of each item, and all items in the 4-coreness
structure could be used as key intervention targets. (3) The results of risk correlation showed that items like optimism, thought functions, motivation, sensations associated with the digestive system, and sensation of pain had
high risk correlation with multiple items, which can be used to guide the design of different intervention paths.
Conclusion: The key target items and intervention paths can be explored by constructing the graphical model
of ICF functional variables for depression, which will further guide the diagnosis, treatment, and recovery of psychosocial function in depression. |
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